|
|
|
|
|
Yuan Guo, Jian Zhou, Xicheng Li, Youchen Tang and Zhicheng Lv
High-definition (HD) maps serve as crucial infrastructure for autonomous driving technology, facilitating vehicles in positioning, environmental perception, and motion planning without being affected by weather changes or sensor-visibility limitations. M...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zeming Wei, Jiawen Fang, Zhicheng Hong, Yu Zhou, Shansi Ma, Junlang Zhang, Chufeng Liang, Gansen Zhao and Hua Tang
Blockchain is a distributed ledger technology that possesses characteristics such as decentralization, tamper resistance, and programmability. However, while blockchain ensures transaction openness and transparency, transaction privacy is also at risk of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yang Zhang, Yuan Feng, Shiqi Wang, Zhicheng Tang, Zhenduo Zhai, Reid Viegut, Lisa Webb, Andrew Raedeke and Yi Shang
Waterfowl populations monitoring is essential for wetland conservation. Lately, deep learning techniques have shown promising advancements in detecting waterfowl in aerial images. In this paper, we present performance evaluation of several popular superv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pietro Betti, Oscar Adriani, Matias Antonelli, Yonglin Bai, Xiaohong Bai, Tianwei Bao, Eugenio Berti, Lorenzo Bonechi, Massimo Bongi, Valter Bonvicini, Sergio Bottai, Weiwei Cao, Jorge Casaus, Zhen Chen, Xingzhu Cui, Raffaello D?Alessandro, Sebastiano Detti, Carlos Diaz, Yongwei Dong, Noemi Finetti, Valerio Formato, Miguel Angel Velasco Frutos, Jiarui Gao, Francesca Giovacchini, Xiaozhen Liang, Ran Li, Xin Liu, Linwei Lyu, Gustavo Martinez, Nicola Mori, Jesus Marin Munoz, Lorenzo Pacini, Paolo Papini, Cecilia Pizzolotto, Zheng Quan, Junjun Qin, Dalian Shi, Oleksandr Starodubtsev, Zhicheng Tang, Alessio Tiberio, Valerio Vagelli, Elena Vannuccini, Bo Wang, Junjing Wang, Le Wang, Ruijie Wang, Gianluigi Zampa, Nicola Zampa, Zhigang Wang, Ming Xu, Li Zhang and Jinkun ZhengaddShow full author listremoveHide full author list
The HERD experiment is a future experiment for the direct detection of high-energy cosmic rays and is to be installed on the Chinese space station in 2027. The main objectives of HERD are the first direct measurement of the knee of the cosmic ray spectru...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pietro Betti, Oscar Adriani, Matias Antonelli, Yonglin Bai, Xiaohong Bai, Tianwei Bao, Eugenio Berti, Lorenzo Bonechi, Massimo Bongi, Valter Bonvicini, Sergio Bottai, Weiwei Cao, Jorge Casaus, Zhen Chen, Xingzhu Cui, Raffaello D?Alessandro, Sebastiano Detti, Yongwei Dong, Noemi Finetti, Valerio Formato, Miguel Angel Velasco Frutos, Jiarui Gao, Xiaozhen Liang, Ran Li, Xin Liu, Linwei Lyu, Gustavo Martinez, Nicola Mori, Jesus Marin Munoz, Lorenzo Pacini, Paolo Papini, Cecilia Pizzolotto, Zheng Quan, JunJun Qin, Dalian Shi, Oleksandr Starodubtsev, Zhicheng Tang, Alessio Tiberio, Valerio Vagelli, Elena Vannuccini, Bo Wang, Junjing Wang, Le Wang, Ruijie Wang, Gianluigi Zampa, Nicola Zampa, Zhigang Wang, Ming Xu, Li Zhang and Jinkun ZhengaddShow full author listremoveHide full author list
HERD is a future experiment for the direct detection of high energy cosmic rays. The instrument is based on a calorimeter optimized not only for a good energy resolution but also for a large acceptance. Each crystal composing the calorimeter is equipped ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chunjiang Ma, Xiaomei Tang, Zhicheng Lv, Zhibin Xiao and Guangfu Sun
|
|
|
|
|
|
|